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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Elasticsearch vs. SpatiaLite

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Elasticsearch vs. SpatiaLite

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonElasticsearch  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSpatial extension of SQLite
Primary database modelDocument storeRelational DBMSSearch engineSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgwww.elastic.co/­elasticsearchwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationElasticAlessandro Furieri
Initial release2019201420102008
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.6, January 20235.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedLinux
Unix
Windows
All OS with a Java VMserver-less
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJava API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnonoyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno

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More resources
Amazon DocumentDBApache PhoenixElasticsearchSpatiaLite
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